A web application that allows users to upload an image and convert it to text using Optical Character Recognition (OCR) technology. This application supports user authentication and provides a user-friendly interface for image uploads and text extraction.

Diabetes Prediction: Using machine learning to classify individuals as diabetic or non-diabetic based on health data, enabling early intervention and improved healthcare outcomes.

Welcome to the GitHub repository for Rapha Carpio's personal portfolio. This portfolio showcases work as a Data Analyst, featuring data visualizations and analytical projects.

A python AI chatbot with emotion detection model. Frontend using PHP, API using Flask and database using PostgreSQL. Collaborate with CyberYouth from SJS. @Hkmu 2022-2023 FYP

An app to track performance of registered active links and send weekly performance report to registered user.

Flask-Starter-FS is a concise full-stack starter kit for Flask web development, offering quick setup and pre-configured settings for seamless integration of front-end and back-end components. Accelerate your full-stack web application development with Flask-Starter-FS.

Multiple Linear Regression Dataset Name - 50_startups data.

Aircraft components are susceptible to degradation, which affects directly their reliability and performance. This machine learning project will be directed to provide a framework for predicting the aircraft’s remaining useful life (RUL) based on the entire life cycle data in order to provide the necessary maintenance behavior.

A web app that utilizes Genetic Algorithms to generate a list of foods offering maximum calorie content within a specified budget.

Resources for the Python Developer Bootcamp.

Building a Breast cancer classification model using Random Forest Classifier and deploying it to a web application using Flask framework

Data Analyst Website to hold projects related to the field

Website version based from my last CBIR project. Created with Flask

Image Classifier with Flask and Keras CNN

Productivity Application to simplify your invoice analysis

Redzone 🚔 - a machine learning model in a web application to predict campus crime probability by location and type

Dashboard using plotly

Content-Based Image Retrieval

Developed a reinforcement learning agent to perform automation testing on websites. Used Q-Learning to train a RL agent to test various components of a web-page and log them as test cases. The APIs are built using FastAPI.

The objective of this model is to predict salary of a candidate based on their years of experience, test score and performance in the interview.